Nonparametric Edge Detection in Speckled Imagery
Applications
2012-08-30 v1 Computer Vision and Pattern Recognition
Machine Learning
Abstract
We address the issue of edge detection in Synthetic Aperture Radar imagery. In particular, we propose nonparametric methods for edge detection, and numerically compare them to an alternative method that has been recently proposed in the literature. Our results show that some of the proposed methods display superior results and are computationally simpler than the existing method. An application to real (not simulated) data is presented and discussed.
Cite
@article{arxiv.1207.1915,
title = {Nonparametric Edge Detection in Speckled Imagery},
author = {Edwin Girón and Alejandro C. Frery and Francisco Cribari-Neto},
journal= {arXiv preprint arXiv:1207.1915},
year = {2012}
}
Comments
Accepted for publication in Mathematics and Computers in Simulation